Effects Of Infrastructure Development Research Articles

Effect of Infrastructure Development on Domestic Private Investment and Foreign Direct Investment in Kenya

Effect of Infrastructure Development on Domestic Private Investment and Foreign Direct Investment in Kenya

The effect of infrastructure development on increasing farmers’ income of main agricultural commodities in Serdang Bedagai Regency

Improving the quality and quantity of infrastructure leading to agricultural production centers will increase the economic activities of the community. The more stable infrastructure of agricultural centers will facilitate access to the location, more competitive prices, and more guaranteed quality so that it will increase agricultural production and productivity as well as the income and welfare of the community, especially farmers. The contribution of Serdang Bedagai’s agricultural and plantation sectors is so large that it is only natural that the priority of infrastructure development is the construction of roads and bridges to facilitate the mobility of agricultural products. This study was conducted to provide additional perspectives and references on the importance of infrastructure in improving the welfare and income of rice farmers in Serdang Bedagai regency. This study employs quantitative approaches. The investigation took place within Serdang Bedagai Regency, Sumatera Utara Province by distributing questionnaires to respondents, namely 96 farmers. Respondents were farmers representing 17 sub-districts. The findings indicated that infrastructure development positively and significantly influences the income of farmers producing the main commodities in the Serdang Bedagai area. Furthermore, it is shown that road conditions (X) have an impact of 47.4% on the income (Y) of major commodity farmers in the Serdang Bedagai regency.

Achieving sustainable development goals through water and sanitation in sub-saharan africa: The role of industrialization

Previous research has focused on the effect of infrastructure development on industrialization. However, the industrialization process can also be a source of social transformation. Thus, the objective of this study is to analyze the impact of industrialization on some indicators of sustainable development in particular the infrastructure development index, access to water and access to sanitation in sub-Saharan Africa (SSA). The data was collected from 27 countries in sub-Saharan Africa from 2000-2016. The Ordinary Least Square (OLS) and Generalized Least Square (GLS) methods were used to estimate the parameters of our econometric models. The results of the study show that industrialization has a positive and significant impact on all infrastructure indicators. Furthermore, tariff rates and political stability are also explanatory factors for the sustainable development indicators. Therefore, SSA countries which are mostly endowed with natural resources must increase their industrialization process in order to improve the social structures of their populations through the development of infrastructure. More precisely, the exploitation and transformation of their raw materials may help fight against underdevelopment through inclusive growth and the development of infrastructure.

Infrastructure and Poverty: State Budget Effect Analysis with Panel Model

The problem of poverty has an impact on various socio-economic problems such as high levels of illiteracy and unemployment, low levels of health and a bad environment. One strategy to reduce poverty can be done by building adequate infrastructure. The quality of advanced infrastructure is the main prerequisite needed by a country to accelerate its economic growth and development. This study focuses on the effect of infrastructure development that uses economic growth as a "bridge" in reducing the poverty rate that exists in Indonesia today. The contribution of this research is to find out how infrastructure budgeting affects poverty alleviation. The data used is panel data consisting of 32 provinces in Indonesia. The Fixed Effect model is the method used in this study, where the results show that the accelerated provision of priority infrastructure has a significant effect on poverty reduction. The availability of infrastructure services can encourage economic movement that reduces poverty. Partially, economic infrastructure, namely roads and clean water, has a significant effect on poverty alleviation, while social infrastructure DAU Education and DAU Health also have a significant negative effect . The results of this study have implications for the government where with the availability of adequate infrastructure it will be able to overcome poverty.

Information and Communication Technology Infrastructure in Public-Private Partnership In Financial Technology In Indonesia

We collect reports from the Asian development bank (adb.org) related to information and communication technology infrastructure development projects with a public-private partnership system. For fintech development data, we use secondary data from the OJK or the Indonesian financial data authority. We process data by matching the timing of each project and the impact on the development of fintech in Indonesia including financial literacy which also uses sources from the OJK. The period of the year in data collection is 10 years, namely from 2010 to 2020 with a monthly data period so that there are 120 data periods in the calculation for each variable (12 months per year x 10 years). We use the ARDL model to understand the causal relationship of each variable. We found that in the long term information and communication technology infrastructure development projects with a public-private partnership system (ITCD) have a significant positive relationship to financial literacy in Indonesia. However, the short term is not significant. This demonstrates that the long-term effects of infrastructure development may be felt after the project is done. Fintech development (FD), in contrast to ITCD, does not have a long-term beneficial influence on financial literacy in Indonesia. However, there will be a major beneficial influence in the near run. In both the long and medium-term, the Indonesian government's infrastructure budget for information and communication technology infrastructure development (IFB) has a substantial influence on financial literacy in Indonesia. Similarly, both in the short and long term, the public-private partnership budget ratio (PPPR) has a strong beneficial influence on financial literacy in Indonesia.

Effects of Infrastructure Development, Inflation and Economic Growth to Performance Company (ROA, Tobin's Q, PBV): Study on Registered Infrastructure Support Companies in IDX Period 2014-2019

The financial performance can be used as a benchmark of the ability of an organization or company in achieving its goals. Performance measurement is one of the most important factors for an organization or company, performance measurement is a process of measuring the extent to which a company does work to achieve its goals. The research investigated the impact of infrastructure, economic growth and inflation on financial performance of infrastructure support companies listed in Indonesian Stock Exchange Period 2014-2019 which is proxied by ROA (Return on Assets), Tobin’s Q and PBV (Price to Book Value). The population of this research was the infrastructure support companies listed on the Indonesian Stock Exchange period 2014-2019. Research sampling was conducted using The Purposive Sampling Method. The data analysis was camed out using classical assumption test, multiple linear regression analysis, t-test, F-test and determinan (R2) test with SPSS 21. The research finding showed that the model has an effect on the financial performance as proxied by ROA. So the results of the hypothesis test show that: (1) Infrastructure development has a negative and significant effect on ROA. (2) The inflation rate has a positive and significant effect on ROA. (3) Economic growth has no significant effect on ROA. Meanwhile, the model has no effect on financial performance which is proxied in Tobin's Q and PBV.

Infrastructure investment and marginal spending behaviour of households

To shed light on the debate over the effect of infrastructure investment on household consumption, this paper uses rural and urban household consumption data from the Chinese Household Income Project (CHIP) to analyse how infrastructure development affects the marginal spending behaviour of households. We find that although infrastructure stock crowds in total consumption, the effects of infrastructure development on sub‐categories of consumption differ considerably between the rural sample and the urban sample. Specifically, infrastructure development promotes urban households' spending on infrastructure‐based goods, and generates more spillover effects on rural households as indicated by the marginal consumption pattern shifting from necessities to more luxurious goods. Heterogeneity analyses show that the effect of infrastructure development is stronger in households with higher income and with a younger head.

Development of Infrastructure And Economic Growth of Papua Province

Efforts are being make equitable development through accelerated infrastructure development by providing quality infrastructure facilities and services. The government continues encourage the development of damaged infrastructure in order to increase economic growth, especially areas do not have good access. The purpose this study is determine the effect of infrastructure development on economic growth Papua Province. This study uses panel data regression with the Random Effect Model. Infrastructure data used this study are road infrastructure, educational infrastructure, health infrastructure from 29 districts / cities period 2011-2018. The results is road infrastructure and educational infrastructure have a positive and significant influence economic growth, while health infrastructure have a positive but not significant effect economic growth Papua Province. The regional government must be increase the quantity and quality of teaching staff, services and health facilities at regions isolated.

The effects of infrastructure development and carbon emissions on economic growth.

Infrastructure is a basic physical structure that is essential for the facilitation of society in terms of the provision of the basic framework that is required for the economy's output. The transport infrastructure is one of the most promising tools for generating economic growth and development because of its constructive impact on multidimensional aspects of society. The carbon emissions emanating from different sectors are used to capture the environmental quality in Pakistan and its association with road infrastructure of the country. Transportation is the main source of carbon emissions (GHGs), and road transport is the biggest emitter that accounted for more than 70% of emissions from GHGs in 2014 in Pakistan. We have used fully modified ordinary least square (FMOLS) and dynamic ordinary least square (DOLS) approaches to analyze the role of carbon emissions (aggregate and disaggregate forms) along with road infrastructure on economic growth for the period of 1972-2017. Moreover, before the main analysis, the co-integrating relationships are also analyzed in this study. Our findings pronounce that there is a positive observable relationship between road infrastructure and economic growth. However, the impact of carbon emissions (irrespective of aggregate or disaggregate forms) is negative on economic growth. The findings suggest that the improvements in economic growth can be achieved through road infrastructure structure development but at cost of deterioration of environmental quality (increase in carbon emissions). Although emissions diminish economic growth over time but on the other side, the economic incorporation increases through the investment in road infrastructure which is of assistance for the construction and manufacturing industry.

Effects of Infrastructure Development on African Cape buffalo Behaviour: A Case Study of Lake Nakuru National Park, Nakuru County, Kenya

The study's purpose was to assess the impacts of infrastructure development on African Cape buffalo behaviour in Lake Nakuru National Park. Descriptive survey design was used in this research since it allowed the study of African Cape buffalo without affecting their normal behaviour. The target population size was 215,000 people from which a sample size of 138 respondents was derived using Brickman's formulae. Key Informant Interviews (KIIs), questionnaires and field observation were used to collect primary data. Statistical Package for social science (SPSS) version 25 was used in data analysis. Descriptive analysis is presented using tables, frequencies and percentages while inferential statistics was done using regression model. Secondary data collected through a review of government documents and environmental journals was further used to enrich the results. It was established that infrastructure development exists in Lake Nakuru National Park, and it affects the African Cape buffalo behaviour. The study further indicated that the conservation policies aided in conserving the African Cape buffalo. Recommendations given are useful in environmental policy formulation for sustainable development of protected areas in both the county level and the national level.

Effect of infrastructure development in the program of simultaneous movement for village development on economic growth

The Regency of Tulang Bawang develops a program called Simultaneous Movement for Village Development (Gerakan Serentak Membangun Kampung), that is a movement carried out by, from, and for the community of Tulang Bawang to do the right thing together in an effort to accelerate the development of village infrastructure for economic development of village community. Infrastructure limitation leads to the high poverty rate in rural areas. The study of Simultaneous Movement for Village Development Program or Gerakan Serentak Membangun Kampung (GSMK) aims to assess the effect of Direct Cash Transfer for Community (BLM, Dana Bantuan Langsung Masyarakat), and community initiative in GSMK Program on the economic growth of the community in Tulang Bawang Regency. The type of research applied was quantitative research using multiple regression analysis. This study was conducted using secondary data in 2011-2016 sourced from Lampung dalam angka, the result of previous studies, and other supporting data. Moreover, the data required in this study included the total amount of BLM and community initiative in the GSMK Program conducted in Tulang Bawang Regency, and community initiative. The study conducted in Tulang Bawang Regency showed that: (1) There was significant correlation between Direct Cas Transfer for Community and Community Initiative on Economic Growth Rate of Community; (2) Direct Cash Transfer for Community significantly affected the Gross Regional Domestic Product (PDRB)at confidence level of 99%, and(3) Community Initiative did not significantly affect economic growth rate of community since confidence level only reached a value of 11.5%.

The Economic Effects of Infrastructure Development in American Indian Tribal Areas with Low Income and High Unemployment

Some of the worst incidences of poverty in the United States exist in American Indian tribal areas, also known as “Indian Country.” It is the responsibility of the Office of the Assistant Secretary for Indian Affairs, at the U.S. Department of the Interior, to promote policies to facilitate the economic development and growth of Indian Country. One of the key ingredients for such growth is improved infrastructure, especially in the most impoverished areas. This paper will provide guidance to economists and policy analysts, both within and outside of Indian Affairs, on how to develop infrastructure-based strategies for promoting economic growth in Indian Country. The paper presents a macroeconomic model that interrelates infrastructure development with household income and consumption and examines the multiplier effects that result from expanded infrastructure in tribal areas. The model demonstrates that states may easily benefit from supporting tribal infrastructure development, by various spillover effects.

Infrastruktur Jalan Terhadap Peningkatan Kinerja Ukm Tas

<p>The research objective are to analyze handbag Small-Medium Enterprise (SME) performance and the effect of infrastructure development on MSE performances in Bojong Rangkas Village, District of Ciampea, Bogor Regency. The research conducted from Pebruary to May 2010. Primary and secondary data use to the purposes. The sampling consisted of 30 SME respondents for observation period 2008 and 2009. The production function specified using Cobb-Douglass. The regression results indicated the model significant at ? = 0.05. Sig-t test indicates that all independent variables shows positive sign. At ? = 0.30, labor (0.172), material (0.000) and dummy year (0.272) has positive and significant effect on production. This result indicate that road infrastructre development has positive effect on handbag SME production. As reccomendation, there is a need another support such as soft infrastructure (training) to realize the location as center of handbag SME in the regency</p>

Public Infrastructure Investment, Institutions, and Economic Dynamism in the United States

Physical infrastructure is an aspect of a region’s entrepreneurial ecosystem and previous studies suggests that infrastructure is positively associated with entrepreneurial activity, a key component of economic dynamism. This small body of literature have largely focused on the stock of infrastructure, ignoring the costs of developing infrastructure as well as potential complementarities between infrastructure and other elements of the ecosystem. This paper examines the relationship between US state-level public infrastructure spending and economic dynamism over the period 1992-2015. The results suggest that infrastructure spending exerts a short-term negative impact on the establishment entry, birth and total job creation, and net job creation rates. The analysis also considers whether the effect of infrastructure development on dynamism is moderated by several other elements of the entrepreneurial ecosystem such as institutions (i.e., corruption), public policy (i.e., labor market frictions), and/or human capital.

Analysis of Effect of Infrastructure development on growth of Chhattisgarh state with special context to roadways

Analysis of Effect of Infrastructure development on growth of Chhattisgarh state with special context to roadways

Effects of Infrastructure Development on Foreign Direct Investment in Kenya

Kenya’s foreign direct investment (FDI) inflows as a percentage of GDP have been increasing negligibly over the last 4 years, increasing from 0.4 per cent in 2010 to 0.9 per cent in 2013. And yet evidence shows that quality infrastructure lowers the cost of doing business and thus attracts FDI. Kenya has visible signs of infrastructure inadequacy and inefficiencies despite the fact that since the year 2000, there has been increased budgetary allocation to the infrastructure sector. This study, therefore, sought to determine the effects of transport, energy, communication and water and waste infrastructure development on FDI inflows in Kenya. The study used annual time series data sourced from Central Bank of Kenya, World Bank and the United Nations Conference on Trade and Development (UNCTAD). Using multiple regression analysis, it was established that improved transport infrastructure, communication infrastructure, water and waste infrastructure, exchange rate, economic growth and trade openness are important determinants of FDI inflows into Kenya. Hence, for Kenya to attract more FDI, continued infrastructural development is key since quality infrastructure affords investors a conducive investment climate in which to operate.

A Survey on the Effect of Infrastructure Development on Foreign Direct Investment into Developing Countries

A Survey on the Effect of Infrastructure Development on Foreign Direct Investment into Developing Countries

Influence of infrastructure development on the vegetation community structure of coastal dunes: Jeffreys Bay, South Africa

Coastal dunes are increasingly at risk due to pressures deriving from global climate change, sea level rise, recreation and development. The consequences of the “coastal squeeze” in which dunes are placed, such as erosion and the loss of critical ecosystem services, are usually followed by expensive restoration and protection measures, many of which are unsuccessful. Due to the poor understanding and acknowledgement of the key attributes of coastal dunes in decision making processes, it is essential to provide scientific data on the impacts of human interference on coastal dunes so as to inform executives and guide them towards a sustainable management of the coastal zone. The aim of this study was to investigate the impact of five different levels of infrastructure development on the vegetation community structure of coastal dunes in Jeffreys Bay, South Africa. The effects of infrastructure development on dune vegetation were quantified by measuring the richness, diversity, cover, height and composition of plant species. With an increase in infrastructure development a significant decrease in dune width, average species richness and height of the plants occurred, accompanied by a shift in plant community composition. The foredunes that were backed immediately by infrastructure presented significantly greater species richness, diversity, cover and height compared with the foredunes abutted by primary dunes. This study demonstrated that coastal dunes are environments which are sensitive to varying levels of human impact. Informed and comprehensive management planning of these environments is therefore imperative for the restoration and maintenance of remnant dunes and for the conservation of undeveloped coastal dunes.

Spatial Equity Analysis on Expressway Network Development in Japan

The authors apply the RAEM-Light model to analyze the distribution of social benefits from expressway network projects from the viewpoint of spatial equity. The RAEM-Light model has some innovative features. The spatial behavior of producers and consumers is explicitly described and is endogenously determined by using econometric production and consumption functions. This model applies a slightly different concept than the traditional spatial computable general equilibrium model that does not depend on the input–output data. It is therefore well suited for analyzing detailed areas for which official input–output data are not available (i.e., its zones are subdivided into a neighborhood area level). In this paper, the authors analyze two expressway network scenarios. In Scenario 1, the regional economic impacts from the present expressway network are simulated. In this base case simulation, it is concluded that the present expressway network has a low score on spatial equity, in particular because of negative impacts on rural areas. In Scenario 2, the authors analyze the present and future expressway network case in rural areas. As compared with Scenario 1, negative impacts from the implementation of the expressway network are reduced, especially in rural areas. This comparative analysis quantified the effectiveness of the two network structures from the viewpoint of spatial equity. Theoretically and quantitatively comprehensive studies from the viewpoint of spatial equity on the effects of infrastructure development have not yet been sufficiently conducted; however, the results of the comparative analysis are promising for an economic assessment of the expressway networks from the point of spatial equity.

Effect of Infrastructure Development on Income Generation: A Study on Jamuna Bridge Project in Bangladesh

This research is an attempt to examine the impact of infrastructure development on income generation in the north eastern region of Bangladesh which enjoyed a wide range of amenities after the construction of Jamuna Bridge in 1998. The application of 'difference in difference estimator' using the pooled household level income data of the treatment and control area in the pre and post time period of the project is the methodology of this research. The 4 districts situated nearer to the project location at the North eastern region of Bangladesh have been regarded as treatment area while the 4 districts of the Barisal division, the southern part of the country have been treated as control area. The household data of 1995 and 2005 have been used in this research. Regression models using dummy variables, interaction terms and some control variables-land, household size and age exhibit that the infrastructure impact on income of the project area ranges from 7.7-10% with statistical significance in the 1995-2005. The positive and decreasing rate of impact of control variables on income going in tune with the postulation of positive and diminishing marginal productivity of capital and labor in the production function has made the regression estimations more realistic and spontaneous.